{"id":"W4200227978","doi":"10.1089/nat.2021.0085","title":"Challenges and Opportunities for Nucleic Acid Therapeutics","year":2021,"lang":"en","type":"article","venue":"Nucleic Acid Therapeutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences","keywords":"Nucleic acid; Computational biology; Oligonucleotide; RNA; Risk analysis (engineering); Biology; Computer science; Medicine; DNA; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001614193,0.0002770187,0.000246897,0.00004132836,0.0001433241,0.00006830552,0.0002414894,0.0002874185,0.0000309111],"category_scores_gemma":[0.00001199973,0.0002680538,0.0001435462,0.00003776665,0.000156977,0.00001186019,0.0001387272,0.0001232746,0.000009953845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001298556,"about_ca_system_score_gemma":0.0001120495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.651792e-7,"about_ca_topic_score_gemma":0.00002223252,"domain_scores_codex":[0.9986838,0.00007577427,0.0002521589,0.0004756844,0.0001432622,0.0003693567],"domain_scores_gemma":[0.9990134,0.00002348555,0.00009116026,0.0005285218,0.0002500986,0.00009337877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001090911,0.00008958322,0.00004998458,0.0000463161,0.0003473912,0.000009557256,0.0004663372,0.000001072182,0.7421312,0.001466983,0.0003181932,0.2549643],"study_design_scores_gemma":[0.0008051423,0.0006297099,0.0005255409,0.00003101858,0.0001486977,0.00007719483,0.002803964,0.0001871425,0.5824143,0.001392824,0.410549,0.0004354689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820398,0.1030772,0.001418591,0.005698685,0.000541824,0.0003189197,0.00008940382,0.0000636775,0.006751905],"genre_scores_gemma":[0.9103196,0.08036032,0.000926571,0.006610458,0.0003288558,0.00003191503,0.00009957265,0.00006960563,0.001253061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4102308,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087903394401578,"score_gpt":0.2952986628247805,"score_spread":0.1865083233846227,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}